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    Leveraging Machine Learning for Pipeline Condition Assessment 

    Source: Journal of Pipeline Systems Engineering and Practice:;2023:;Volume ( 014 ):;issue: 003:;page 04023024-1
    Author(s): Hongfang Lu; Zhao-Dong Xu; Xulei Zang; Dongmin Xi; Tom Iseley; John C. Matthews; Niannian Wang
    Publisher: ASCE
    Abstract: Pipeline condition assessment is a cost-effective method to determine the status of pipeline structure and predict failure probability. Although 100% inspection may not be feasible for decision makers, recent advancements ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian